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Date Time BBC research partnership to enable future personalised media for everyone Lancaster University has teamed up with the BBC and the University of Surrey on a new ‘Prosperity Partnership’ to develop cutting-edge technologies that will allow future media experiences to be hyper-personalised by adapting to individual users’ interests, devices and accessibility requirements. The UK government has announced the £15 million BBC, Surrey and Lancaster Prosperity Partnership, which will develop technologies that will enable the UK creative industry to become a world leader in personalis...

Share Lancaster University has teamed up with the BBC and the University of Surrey on a new ‘Prosperity Partnership’ to develop cutting-edge technologies that will allow future media experiences to be hyper-personalised by adapting to individual users’ interests, devices and accessibility requirements. The UK government has announced the £15 million BBC, Surrey and Lancaster Prosperity Partnership, which will develop technologies that will enable the UK creative industry to become a world leader in personalised media experiences. Business Secretary Kwasi Kwarteng said: “As we build b...

(Image: Getty Images) Not sure if the video you're watching is the real thing or a deepfake? Take a good, long look at the eyes. According to computer scientists at the University of Buffalo, light reflections in the eye are the key to deciphering whether the person you're watching in a given image is genuine or a clever deepfake. There's a special tool that can automatically identify deepfake photos by analyzing light reflections in the subject's eyes. When used on portrait-like photos across a series of experiments, the tool achieved 94% efficacy when sussing out real photos from fakes. ...

Published 15 March 2021 Computer scientists have developed a tool that automatically identifies deepfake photos by analyzing light reflections in the eyes. The tool proved 94 percent effective with portrait-like photos in experiments. University at Buffalo computer scientists have developed a tool that automatically identifies deepfake photos by analyzing light reflections in the eyes. The tool proved 94 percent effective with portrait-like photos in experiments described in a paper accepted at the IEEE International Conference on Acoustics, Speech and Signal Processing to be held in June ...

Siwei Lyu, SUNY Empire Innovation Professor Department of Computer Science and Engineering UB computer scientists have developed a tool that automatically identifies deepfake photos by analyzing light reflections in the eyes. The tool proved 94% effective with portrait-like photos in experiments described in a paper accepted at the IEEE International Conference on Acoustics, Speech and Signal Processing to be held in June in Toronto. “The cornea is almost like a perfect semisphere and is very reflective,” says lead author, Siwei Lyu, SUNY Empire Innovation Professor in the Department of C...